Technology as a Force for Good: Salesforce’s Paula Goldman

Technology as a Force for Good: Salesforce’s Paula Goldman

Author: MIT Sloan Management Review November 30, 2021 Duration: 27:35
Paula Goldman has been a passionate advocate for the responsible use of technology for her entire career. Since joining Salesforce as its first chief ethical and humane use officer, she’s helped the company design and build technology solutions for its customers, with a focus on ethics, fairness, and responsible use. In this episode, Paula joins hosts Sam and Shervin to discuss her specific role leading the ethical development of technology solutions, as well as the role technology companies play in society at large. Read the episode transcript here. Me, Myself, and AI is a collaborative podcast from MIT Sloan Management Review and Boston Consulting Group and is hosted by Sam Ransbotham and Shervin Khodabandeh. Our engineer is David Lishansky, and the coordinating producers are Allison Ryder and Sophie Rüdinger. Stay in touch with us by joining our LinkedIn group, AI for Leaders at mitsmr.com/AIforLeaders. Read more about our show and follow along with the series at https://sloanreview.mit.edu/ai. Guest bio: Paula Goldman is Salesforce’s first chief ethical and humane use officer. In her role, she leads Salesforce in creating a framework to build and deploy ethical technology that optimizes social benefit. Previously, Goldman served as vice president, global lead, for the Tech and Society Solutions Lab at Omidyar Network, a social impact investment firm established by eBay founder Pierre Omidyar. Goldman also served as the global lead for impact investing, where she created and led Omidyar Network’s global efforts to build the impact investing movement through its investment portfolio, industry partnerships, and thought leadership. Goldman earned a Ph.D. from Harvard University, a master’s degree in public affairs from Princeton, and a bachelor’s degree with highest honors from the University of California, Berkeley. We encourage you to rate and review our show. Your comments may be used in Me, Myself, and AI materials. We want to know how you feel about Me, Myself, and AI. Please take a short, two-question survey.

Ever wondered how some organizations manage to turn artificial intelligence from a buzzword into a genuine engine for growth, while others struggle to move beyond the pilot phase? Me, Myself, and AI, a production from MIT Sloan Management Review, goes straight to the source to find out. Instead of theoretical discussions, this podcast features candid conversations with the people who are actually building and implementing AI systems at scale. You'll hear directly from leaders at prominent companies like YouTube, Cisco, and Hugging Face as they recount their journeys-not just the polished successes, but the real-world challenges, strategic decisions, and sometimes surprising lessons learned along the way. Each episode digs into the practicalities of creating measurable business value, cutting through the noise to reveal what effective AI leadership and integration truly look like. It’s a focused exploration for anyone in technology, business, or education who wants to understand the human and operational stories behind the algorithms. Tune in for an unvarnished look at the future being built, one practical application at a time.
Author: Language: English Episodes: 100

Me, Myself, and AI
Podcast Episodes
Speed, Ease, and Expertise With AI: Lenovo’s Linda Yao [not-audio_url] [/not-audio_url]

Duration: 31:59
Linda Yao, chief operating officer and head of strategy for Lenovo’s Strategy, Solutions, and Services Group and vice president of hybrid cloud and AI solutions, joins us to explain the organization’s transition from tec…
Monetizing Data With AI: MIT CISR's Barb Wixom [not-audio_url] [/not-audio_url]

Duration: 34:31
Barbara Wixom, principal research scientist at MIT’s Center for Information Systems Research (CISR), draws on 30 years of research in this bonus episode of the Me, Myself, and AI podcast. She believes data monetization i…
Tackling Injuries With AI: The NFL's Jeff Miller [not-audio_url] [/not-audio_url]

Duration: 30:37
Jeff Miller moved from a career in government to focus on the health and safety of NFL players. Due to the nature of their sport, they are more prone to injuries, including concussions, than other professional athletes.…
Collective Learning With Generative AI [not-audio_url] [/not-audio_url]

Duration: 30:52
Over the past year, we’ve seen generative AI explode. In this episode, we review insights shared with us from five prior guests — from Microsoft, GitHub, Meta, Partnership on AI, and NASA — and consider what’s changed, w…
Leveling the Playing Field With AI: Special Olympics's Mary Davis [not-audio_url] [/not-audio_url]

Duration: 38:28
Mary Davis, CEO of Special Olympics, wants the people she represents to “have a seat at the table” as AI evolves. In this episode of the Me, Myself, and AI podcast, Davis talks about her organization’s mission along with…
Bonus Episode: Lessons From Jobs in the Age of AI [not-audio_url] [/not-audio_url]

Duration: 25:24
On Sept. 4, 2024, Me, Myself, and AI host Sam Ransbotham moderated a panel discussion at a Georgetown University/World Bank event, Jobs in the Age of AI. Afterward, he interviewed keynote speaker Carl Benedikt Frey, Diet…
Sharing AI Mistakes: Partnership on AI’s Rebecca Finlay [not-audio_url] [/not-audio_url]

Duration: 41:26
Rebecca Finlay, CEO of Partnership on AI (PAI), believes that artificial intelligence poses risks — and that organizations should learn from one another and help others avoid the same hazards by disclosing the mistakes t…
The Risks of Too Much AI: Fortune’s Jeremy Kahn [not-audio_url] [/not-audio_url]

Duration: 35:12
Jeremy Kahn’s investigation into the risks and effects of artificial intelligence are reflected in a new book, Mastering AI: A Survival Guide to Our Superpowered Future. But he has also written extensively about the tech…